Advancing Somali NLP: A Comprehensive Study of Machine Learning-Based Techniques for Named Entity Recognition in Under-Resourced Languages

NaijaNER : Comprehensive Named Entity Recognition for 5 Nigerian Languages

Most of the common applications of Named Entity Recognition (NER) is on English and other highly available languages. In this work, we present our findings on Named Entity Recognition for 5 Nigerian Languages (Nigerian English, Nigerian Pidgin English, Igbo, Yoruba

NaijaNER: Comprehensive Named Entity Recognition for 5 Nigerian Languages

This work explores individual and combined Named Entity Recognition in 5 Nigerian languages - Nigerian English, Pidgin, Yoruba, Hausa and Igbo.

Analysis of Machine-Based Learning Algorithm Used in Named Entity Recognition

Aim/Purpose: The amount of information published has increased dramatically due to the information e

The Impact of Data Corruption on Named Entity Recognition for Low-resourced Languages

Data availability and quality are major challenges in natural language processing for low-resourced

Deep Learning Transformer Architecture for Named Entity Recognition on Low Resourced Languages: State of the art results

This paper reports on the evaluation of Deep Learning (DL) transformer architecture models for Named

Entity Extraction in Classical Javanese Literature Using Named Entity Recognition: a Machine Learning Based Cultural Preservation Approach